A Tutorial on Principal Component Analysis
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:arXivID |
1404.1100
|
| gptkbp:author |
gptkb:Jonathon_Shlens
|
| gptkbp:availableOn |
gptkb:arXiv
|
| gptkbp:citation |
high
|
| gptkbp:explains |
data preprocessing
dimensionality reduction eigenvalues eigenvectors covariance matrix orthogonal transformation PCA algorithm data projection variance maximization |
| gptkbp:field |
gptkb:machine_learning
statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
A Tutorial on Principal Component Analysis
|
| gptkbp:language |
English
|
| gptkbp:publicationYear |
2003
|
| gptkbp:subject |
Principal Component Analysis
|
| gptkbp:type |
tutorial
|
| gptkbp:bfsParent |
gptkb:Jonathon_Shlens
|
| gptkbp:bfsLayer |
7
|